alexvek96 / readers_books_analysis

Data Mining course 2nd/2 Assignment focused in extracting data and information between readers and book titles. Initially, data are pre-processed as described in the code comments. Implementation of recommendation and classification system.

readers_books_analysis

Data Mining course 2nd/2 Assignment focused in extracting data and information between readers and book titles. Initially, data are pre-processed as described in the code comments. Implementation of recommendation and classification system.

files

1. books_1.Best_Books_Ever.csv contains books data to be processed (you can download it here https://zenodo.org/record/4265096#.Y-N2DnbP1jE)
2. Assignment 2.pdf contains the objectives of the exercise (Spring Semester 2023)
3. github_books.ipynb contains the Python code implementing the objectives

how to execute

.csv file is to be uploaded to your Google Drive following the path customization of the given code. Then, you can run the code shells of the .ipynb file and see the logic and the results of the implementation.